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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Dendritic Icl SnnDendritic In-Context Learning (DendriCL) — single-layer compartmental SNN that achieves ICL via dendritic subthreshold dynamics implementing online LMS. Use when: designing SNN architectures for in-context learning, exploring biologically-plausible ICL mechanisms, studying dendritic computation, implementing seed-stable ICL beyond moderate task dimensions, analyzing compartmental neuron models.Votes: 0GitHub stars: 3
- Dendritic In Context Learning SnnDendritic In-Context Learning (DendriCL): a single-layer compartmental spiking neural network whose apical/dendritic subthreshold dynamics implement online Widrow-Hoff LMS, giving in-context learning without attention, depth, or inference-time synaptic plasticity. Activation: dendritic in-context learning, DendriCL, single-layer SNN ICL, compartmental spiking neuron, apical LMS dynamics, Garg-2022 ICL benchmark, biologically plausible in-context learning.Votes: 0GitHub stars: 3
- Dendrocentric Snn Event ClassificationDendroNN dendrocentric neural network methodology for energy-efficient classification of event-based data. Incorporates dendritic computation principles into SNNs for improved spatiotemporal processing. Applies to: event-based vision, neuromorphic computing, dendritic computation, energy-efficient classification. Activation: dendrocentric neural, DendroNN, dendritic computation, event-based classification, dendrite-inspired SNN.Votes: 0GitHub stars: 3
- Density Driven Optimal ControlDensity-Driven Optimal Control (D²OC) for multi-agent systems. Analytical framework for decentralized non-uniform area coverage with convergence guarantees for stochastic LTI systems. Use when: (1) Designing density-based multi-agent control systems, (2) Solving optimal coverage problems with formal guarantees, (3) Implementing decentralized control for robotic swarms, (4) Developing resource-constrained area coverage missions, (5) Analyzing convergence of stochastic multi-agent dynamics. Act...Votes: 0GitHub stars: 3
- Density Matrix Propagation Qec DecodingOptimal decoding methodology for quantum error correction using density matrix propagation through circuit-level noise. Enables ML-decoding benchmarking with pruning techniques and rigorous bounds for repetition codes and cellular automaton codes. Activation: density matrix propagation, optimal decoding, ML decoding, QEC benchmarking, BP+OSD accuracy, circuit-level noise decoding, quantum decoder benchmark, syndrome history propagation, pruning bounds, logical error rate, repetition code deco...Votes: 0GitHub stars: 3
- Dependable Quantum SystemsDependability engineering for hybrid quantum-classical computing systems. Covers reliability, resiliency, security, and reproducibility patterns for quantum hardware integration with classical HPC infrastructure. Includes fault-tolerance verification, error mitigation strategies, and systems-level security for quantum computing platforms. Use when: (1) Building reliable quantum-classical hybrid systems, (2) Designing fault-tolerant quantum architectures, (3) Implementing security for quantum ...Votes: 0GitHub stars: 3
- A Hybrid Swarm Intelligence Approach For Optimizing Multimodal Large Language Models Deployment In Edgecloudbased Federated Learning Environments**arXiv ID:** 2502.10419 **Authors:** Gaith Rjouba, Hanae Elmekki, Saidul Islam, Jamal Bentahar, Rachida Dssouli **Published:** 2025-02-04T03:03:24Z **Abstract:** The combination of Federated Learning (FL), Multimodal Large Language Models (MLLMs), and edge-cloud computing enables distributed and real-time data processing while preserving privacy across edge devices and cloud infrastructure. However, the deployment of MLLMs in FL environments with resource-constrained edge devices presents si...Votes: 0GitHub stars: 3
- A Privacypreservingoriented Dnn Pruning And Mobile Acceleration Framework**arXiv ID:** 2003.06513 **Authors:** Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang **Published:** 2020-03-13T23:52:03Z **Abstract:** Weight pruning of deep neural networks (DNNs) has been proposed to satisfy the limited storage and computing capability of mobile edge devices. However, previous pruning methods mainly focus on reducing the model size and/or improving performance without considering the privacy of ...Votes: 0GitHub stars: 3
- Achieving Onmobile Realtime Superresolution With Neural Architecture And Pruning Search**arXiv ID:** 2108.08910 **Authors:** Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David Kaeli, Bin Ren, Xue Lin, Yanzhi Wang **Published:** 2021-08-18T06:47:31Z **Abstract:** Though recent years have witnessed remarkable progress in single image super-resolution (SISR) tasks with the prosperous development of deep neural networks (DNNs), the deep learning methods are confronted with the computation and memory consumption issues in practice, ...Votes: 0GitHub stars: 3
- Arxiv 2512 02551 Cuda L2 Surpassing Cublas Performance For Matrix MCUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning (arXiv: 2512.02551)Votes: 0GitHub stars: 3
- Arxiv 2602 01997 On The Limits Of Layer Pruning For Generative ReasOn the Limits of Layer Pruning for Generative Reasoning in Large Language Models (arXiv: 2602.01997)Votes: 0GitHub stars: 3
- Arxiv 2606 27771 Normguard Reward Preserving Norm Constraints In FlNormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning (arXiv: 2606.27771)Votes: 0GitHub stars: 3
- Arxiv 2607 23198 Variance Preserving Orthogonal Selection Vpos GreeVariance-Preserving Orthogonal Selection (VPOS): Greedy Feature Selection via Orthogonal Deflation in PCA Loading Space (arXiv: 2607.23198)Votes: 0GitHub stars: 3
- Arxiv 2608 05256 Posture And Sustainment Optimization Under AdversaPosture and Sustainment Optimization Under Adversarial Uncertainty (arXiv: 2608.05256)Votes: 0GitHub stars: 3
- Arxiv 2608 05341 Positive Unlabeled Preference Optimization For ChePositive-Unlabeled Preference Optimization For Chest X-ray Report Generation (arXiv: 2608.05341)Votes: 0GitHub stars: 3
- Arxiv 2608 05464 Effective Pruning Of Task Trained Recurrent NeuralEffective pruning of task-trained recurrent neural networks using noisy fluctuations and connection rescaling (arXiv: 2608.05464)Votes: 0GitHub stars: 3
- Arxiv 2608 05464v1 Effective Pruning Of Task Trained Recurrent Neural**arXiv ID:** 2608.05464v1 **Authors:** Sanjith Senthil, Rishidev Chaudhuri **URL:** http://arxiv.org/abs/2608.05464v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 06128 Contextual Information Policy Optimization For SeaContextual Information Policy Optimization for Search Agents (arXiv: 2608.06128)Votes: 0GitHub stars: 3
- Arxiv 2608 06128v1 Contextual Information Policy Optimization For Sea**arXiv ID:** 2608.06128v1 **Authors:** Xingyu Guo, Wei Chen, Linlin Yang, Baochang Zhang **URL:** http://arxiv.org/abs/2608.06128v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 06291 Bakron Efficient Quantization With Kronecker FactoBaKron: Efficient Quantization with Kronecker-Factored Hessians (arXiv: 2608.06291)Votes: 0GitHub stars: 3
- Arxiv 2608 06291v1 Bakron Efficient Quantization With Kronecker Facto**arXiv ID:** 2608.06291v1 **Authors:** Johann Birnick, Rayan Saab **URL:** http://arxiv.org/abs/2608.06291v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13226v1 Coverprune Coverage Driven Token Pruning For 3d Vl**arXiv ID:** 2608.13226v1 **Authors:** Peng Ling, Yingda Yin, Lingting Zhu, Weikai Chen, Shengju Qian, Zeyu Hu, Xin Wang, Wenming Yang **URL:** http://arxiv.org/abs/2608.13226v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13560v1 Autodesign Meta Harness Optimization For Long Hori**arXiv ID:** 2608.13560v1 **Authors:** Yaxin Luo, Haobin Jiang, Jialv Zou, Xu Huang, Wenhao Yan, Haodong Li, Zhengrong Yue, Jing Li, Xiaofu Chen, Xiaohan Zhao, Jiacheng Liu, Jiacheng Cui, Zhiqiang Shen, Xiaotong Li **URL:** http://arxiv.org/abs/2608.13560v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18578v1 Compress And Forget Bitsandbytes Quantization Ampl**arXiv ID:** 2608.18578v1 **Authors:** Shayan Shahrabi-Farahani, Dara Rahmati **URL:** http://arxiv.org/abs/2608.18578v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18580v1 Facet Preserving Source Intent And Executable Stat**arXiv ID:** 2608.18580v1 **Authors:** Kou Shi, Zun Wang, Qisheng Su, Shiting Huang, Ziao Zhang, Zhen Fang, Qingnan Ren, Jin Liu, Yu Zeng, Yiming Zhao, Lin Chen, Zehui Chen, Feng Zhao **URL:** http://arxiv.org/abs/2608.18580v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18682v1 Rtpo Reverse Turn Policy Optimization For Stabiliz**arXiv ID:** 2608.18682v1 **Authors:** Yugu Li, Jimmy Cao, Jianglin Qiao, Siyi Hu **URL:** http://arxiv.org/abs/2608.18682v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 18903v1 A Fem Based Surrogate Modelling And Optimization F**arXiv ID:** 2608.18903v1 **Authors:** Yucheng Liu **URL:** http://arxiv.org/abs/2608.18903v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 22830v1 Beyond The Harness End To End Optimization Of Cont**arXiv ID:** 2608.22830v1 **Authors:** Kate Gwimm, Carson Eisenach **URL:** http://arxiv.org/abs/2608.22830v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 22963v1 Buried In Textual Debt Context Pruning With Visual**arXiv ID:** 2608.22963v1 **Authors:** Yuchen Huang, Sijia Li, Jun Zhang, Yi R. Fung **URL:** http://arxiv.org/abs/2608.22963v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 23041v1 Autosaddler Automatic Harness Optimization With Du**arXiv ID:** 2608.23041v1 **Authors:** Sungho Park, Wonjoong Kim, Rongyuan Tan, Jue Zhang, Wook-Shin Han, Pengfei Gao, Chanyoung Park, Yongqiang Yao, Rao Fu, Elsie Nallipogu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang **URL:** http://arxiv.org/abs/2608.23041v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 23493v1 Srpo Self Reflective Policy Optimization For Long**arXiv ID:** 2608.23493v1 **Authors:** Jialong Liu, Yuling Shi, Ning Yang, Xiaodong Gu, Zuchao Li **URL:** http://arxiv.org/abs/2608.23493v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 25551v1 Beyond Optimal Rates In Stochastic Optimization Tr**arXiv ID:** 2608.25551v1 **Authors:** Liviu Aolaritei, Lucas Lévy, Francis Bach, Michael I. Jordan **URL:** http://arxiv.org/abs/2608.25551v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 25635v1 Dceo Direct Causal Effect Optimization For Long Te**arXiv ID:** 2608.25635v1 **Authors:** Junzhao Zhang, Tao Zhang, Liren Yu, Feiyi Dong, Zhixuan Zhang, Dan Ou, Haihong Tang **URL:** http://arxiv.org/abs/2608.25635v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 26926v1 A Layer Importance Metric For Quantization Account**arXiv ID:** 2608.26926v1 **Authors:** Artem Safronov **URL:** http://arxiv.org/abs/2608.26926v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 27032v1 Disentangling Optimization Scale From Preference S**arXiv ID:** 2608.27032v1 **Authors:** Ivan Kruzhilov **URL:** http://arxiv.org/abs/2608.27032v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 30449v1 Prime Mitigating Subgroup Optimization Competition**arXiv ID:** 2608.30449v1 **Authors:** Heng Yao, Siyun Hou, Tianying Liu, Yulou Shu, Yong He, Chuan Yuan, Kaibin Qiu, Guowei Chen, Jiayu Zhao, Chao Yu, Ke Ding **URL:** http://arxiv.org/abs/2608.30449v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 02126v1 Scalable Bayesian Optimization Of Composite Functi**arXiv ID:** 2609.02126v1 **Authors:** Dasol Yoon, Poompol Buathong, Chia-Hao Lee, Yujia Zhang, David A. Muller, Peter I. Frazier **URL:** http://arxiv.org/abs/2609.02126v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 02160v1 Geosprint Geometric Redundancy Aware Step Pruning**arXiv ID:** 2609.02160v1 **Authors:** Arpita Joshi **URL:** http://arxiv.org/abs/2609.02160v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 02236v1 Pgpo Potential Guided Policy Optimization For Mult**arXiv ID:** 2609.02236v1 **Authors:** Yuyao Zheng, Haipeng Sun, Junwei Bao, Lemao Liu, Hongfei Jiang, Yang Song, Dejing Dou **URL:** http://arxiv.org/abs/2609.02236v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 02273v1 Comerge Conflict Driven Preference Optimization Fo**arXiv ID:** 2609.02273v1 **Authors:** Mingjie Zheng, Zihao Chen, Wenqing Chen, Weile Yuan, Zhixuan Chu, Jianxing Yu, Zibin Zheng **URL:** http://arxiv.org/abs/2609.02273v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 03352v1 Efficient Constant Optimization For Symbolic Regre**arXiv ID:** 2609.03352v1 **Authors:** Hao Mao, Xu Tony Liu, Shuai Lu, Peng Zhao, Wenzheng Jiang, Yuntian Chen **URL:** http://arxiv.org/abs/2609.03352v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 03716v1 Artificial Intelligence For Energy Optimization In**arXiv ID:** 2609.03716v1 **Authors:** Mohammed Basharath Ullah, Summaiya Unnisa Begum, Mohammed Nadeem Ullah **URL:** http://arxiv.org/abs/2609.03716v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 04098v1 Why Gated Deltanet Survives 4 Bit Quantization Nvf**arXiv ID:** 2609.04098v1 **Authors:** Sergii Kozyrev, Davyd Maiboroda **URL:** http://arxiv.org/abs/2609.04098v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08244v1 Cuno Curriculum And Preference Optimization For St**arXiv ID:** 2609.08244v1 **Authors:** Chenhan Zhang, Ali Braytee, Madhushi Bandara, Xin Hao, Paul J. Kennedy, Massimo Piccardi, Raymond Owen **URL:** http://arxiv.org/abs/2609.08244v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08345v1 Cover Coverage Based Token Pruning For Multi View**arXiv ID:** 2609.08345v1 **Authors:** Nhat-Tan Bui, Varshini Elangovan, Arun Reddy Anugu, Sreyas Mohan, Wei Ye, Dilin Wang, JQ Huang, Rakesh Ranjan, Aviral Chharia, Fernando De la Torre **URL:** http://arxiv.org/abs/2609.08345v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08452v1 Srpo Setwise Relative Policy Optimization For Mult**arXiv ID:** 2609.08452v1 **Authors:** Shengtian Yang, Ziyu Xiong, Yu Li, Yewen Li, Qingpeng Cai, Lei Feng **URL:** http://arxiv.org/abs/2609.08452v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 08759v1 A Note On Scaling In Randomly Rotated Quantization**arXiv ID:** 2609.08759v1 **Authors:** Uri Erez **URL:** http://arxiv.org/abs/2609.08759v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09116v1 When Does Scale Invariant Optimization Become Unst**arXiv ID:** 2609.09116v1 **Authors:** Hasan Amin, Wei-Kai Chang, Rajiv Khanna **URL:** http://arxiv.org/abs/2609.09116v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09721v1 Efq Softmax Exp Free Quantization For Softmax**arXiv ID:** 2609.09721v1 **Authors:** Haohui Han, Yuming Wan, Hongni Wang, Pengcheng Xie, Xiaodong Yan, Runqi You, Wencong Zhang **URL:** http://arxiv.org/abs/2609.09721v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2609 09794v1 Privacy Preserving Split Learning For Federated Ll**arXiv ID:** 2609.09794v1 **Authors:** Heng Jin, Chaoyu Zhang, Hexuan Yu, Wenjing Lou, Y. Thomas Hou **URL:** http://arxiv.org/abs/2609.09794v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3